The Community Survey is a nationally representative, large-scale household survey which is designed to provide information on the extent of poor households in South Africa, their access to services, and levels of unemployment, at national, provincial and municipal levels. The main objectives of the survey are:
1. To fill data gaps between national population and housing censuses
2. To provide estimates at lower geographical levels than existing household surveys
3. To build capacities for the next census round
4. To provide inputs to the mid-year population projections.
Kind of data
Sample survey data [ssd]
Unit of analysis
v1: Edited, anonymised dataset for public distribution.
morbidity and mortality [14.4]
social conditions and indicators [13.8]
economic conditions and indicators [1.2]
health care and medical treatment [8.5]
specific social services: use and provision [15.3]
The survey covered the whole of South Africa.
The lowest level of geographic aggregation of the data is local municipality.
Unit of analysis
The Community Survey covered all de jure household members (usual residents) in South Africa. The survey excluded collective living quarters (institutions) and some households in EAs classified as recreational areas or institutions.
Producers and sponsors
Statistics South Africa
The sampling procedure that was adopted for the CS was a two-stage stratified random sampling process. Stage one involved the selection of enumeration
areas, and stage tw0 was the selection of dwelling units. Since the data are required for each local municipality, each municipality was considered as an explicit stratum. The stratification is done for those municipalities classified as category B municipalities (local municipalities) and category A municipalities (metropolitan areas) as proclaimed at the time of Census 2001. However, the newly proclaimed boundaries as well as any other higher level of geography such as province or district municipality, were considered as any other domain variable based on their link to the smallest geographic unit - the enumeration area.
The main goal of CS 2016 is to produce estimates of key indicators at local municipality level. The sample was designed such that direct survey estimates for these indicators could be produced at municipal level. The weighting approach is based on the sample design. Information on weighting can be found in the technical report.
Dates of collection
Mode of data collection
The CS 2016 questionnaire consisted of six main sections, 11 sub-sections and a total of 225 questions. A first draft of the paper questionnaire was developed in February 2015 and various versions were reviewed and updated thereafter based on discussions with stakeholders. The target population of the survey was all persons in the sampled dwelling who were present on the reference night (i.e. the night between 6 and 7 March 2016). The final CAPI questionnaire was made up of three person rosters. One roster was utilised for the person information, one roster for emigration and one roster for mortality.
Statistics South Africa
Other forms of data appraisal
The Community Survey 2016 data was released in 2017. There are four data files. These are files for households, persons, mortality, and emigration. The emigration file is currently not available. Statistics SA has not provided an explanation for the missing file. DataFirst is working to obtain this file, and will add the data file to the dataset we publish once we have it.
The Community Survey 2016 is also missing employment and income data. Data on employment type and employment status data was collected with questions 3.7.6 - 18.104.22.168 of the questionnaire. Income data was collected with questions 3.7.7. - 22.214.171.124. According to Statistics SA, the data from these questions was not released because changes in collection methodologies resulted in this data not being comparable with the employment and income data in the Quarterly Labour Force Survey.
Public use files, accessible to all.
Statistics South Africa. Community Survey 2016 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2017. Cape Town: DataFirst [distributor], 2017.
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University of Cape Town
Version 2 : Identical to DataFirst zaf-statssa-cs-2016-v1- ID and DDI fields edited.